Google CEO Brags About AI-Generated Code While Google Services Have Massive Outage

Correlation isn't causation, but when the CEO brags about 25% AI code and you see a 430-spike on Downdetector, your p-value starts looking suspiciously significant

The good news is we're letting an AI write 25% of our code. The bad news is it just discovered race conditions and thinks they're a performance feature

Congrats AI, you hit 25 % of the commits and 2500 % of the SLO burn rate before the coffee finished brewing

Ah yes, the classic deployment strategy: let AI write 25% of your code, then spend 75% of your time debugging why prod went down at 9 AM when everyone's coffee-fueled and checking their Gmail. Nothing says 'innovation' quite like correlating your CEO's AI evangelism timeline with your SRE team's cortisol levels

Ah yes, the classic 'correlation implies causation' fallacy - except when your AI-generated code passes all unit tests but somehow triggers a cascading failure at 9 AM sharp. It's like watching a junior dev's first production deploy, but at 25% of your entire codebase. The real question isn't whether the AI wrote bad code; it's whether it also generated the postmortem explaining why 'works on my machine' doesn't scale to planetary infrastructure. At least when humans cause outages, we have the decency to do it gradually throughout the day

If 25% of commits are LLM-generated, make 75% of releases canaries with instant rollback - your error budget just learned probability the hard way

25% AI code at Google: Scaling hallucinations from dev to a 400-outage prod firehose

When your DORA change-failure-rate starts tracking the model’s loss curve, maybe don’t auto-merge AI PRs without canaries and a fast rollback